Resume / Timeline

Data EngineeringPython · Polars · DRFAutomation & PerformanceEN/PTRemote

Timeline

2022

2025

Jan 2022 – present

Remote

3 yrs 10 mos

current

Software Engineer — UpFlux / Process Intelligence

PythonETLPolarsAirflowAWS

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Designed end-to-end data pipelines for process mining, increasing operational efficiency by 40% across clinical and administrative workflows.
Built scalable ETL pipelines for high-volume event data, reducing ingestion time by up to 60% and improving overall stability.
Modernized internal systems to Python 3.12, improving maintainability and cutting compatibility issues by 90%.
Automated critical workflows with Apache Airflow, reducing recurring manual work by ~70% and minimizing human error rates.
Optimized computation and storage using Polars and Parquet, achieving 35% infrastructure cost reduction and 50% faster data transformations.
Led refactoring initiatives and internal framework improvements, reducing cross-team rework by 25%.

Python (Polars, Pandas)

Django REST / FastAPI

Next.js, Tailwind

Docker, GitHub Actions, CI/CD

AWS ECS / Cloudflare / Nginx

Portuguese — native

English — advanced

SQL, pytest, Make, Ruff, Black